A cleaning device for polyurethane processing utensils and an optimized cleaning method thereof

Abstract

The application discloses a kind of polyurethane processing utensil cleaning device and its optimized cleaning method, method includes: multi-view image acquisition and processing, based on Gorkin theorem calculation residual amount;Multiple cleaning and shooting intermediate / second image;Analysis residual amount difference, draw cleaning curve to determine the best duration and control parameter, guide subsequent cleaning.The device includes cleaning shell, control shell, heating chamber, ultrasonic transducer and temperature control system.The application realizes accurate cleaning by residual amount detection and dynamic parameter optimization, improves efficiency and reduces energy consumption, and is suitable for polyurethane processing industry.

Description

Technical Field

[0001] This invention relates to the field of polyurethane polymer material cleaning technology, and in particular to a cleaning device for polyurethane processing utensils and an optimized cleaning method thereof. Background Technology

[0002] Polyurethane (PU), short for polyurethane foam, is a polymer compound. It was first developed in 1937 by Otto Bayer and others. Polyurethanes are broadly classified into polyester and polyether types. They can be used to make polyurethane plastics (mainly foamed plastics), polyurethane fibers (known as spandex in China), polyurethane rubber, and elastomers. Flexible polyurethane primarily has a thermoplastic linear structure. It offers better stability, chemical resistance, resilience, and mechanical properties than PVC foam, and exhibits less compression deformation. It provides good thermal insulation, sound insulation, shock resistance, and toxicity protection. Therefore, it is used as packaging, sound insulation, and filtration materials. Rigid polyurethane plastics are lightweight, have excellent sound insulation and thermal insulation properties, are chemically resistant, have good electrical properties, are easy to process, and have low water absorption. It is mainly used in construction, automotive, and aerospace industries as structural materials for thermal insulation. Polyurethane elastomers have properties between plastics and rubber, are oil-resistant, wear-resistant, low-temperature resistant, aging-resistant, have high hardness, and are elastic. They are mainly used in the footwear and medical industries. Polyurethane can also be used to make adhesives, coatings, and synthetic leather.

[0003] Whether in the preparation of raw materials or in the production of polyurethane products, the use of containers for holding raw materials will involve the issue of raw material residue, which needs to be cleaned.

[0004] The existing methods for cleaning polyurethane raw material residues (1) mostly involve washing with chemical raw materials such as dichloromethane and trichloromethane; (2) for cleaning the stirring head in polyurethane mixing devices, it is necessary to first soak it in dichloromethane for a long time, and then use fire to clean it after soaking. There are problems with raw material treatment after washing and incomplete cleaning. In addition, the fire process also causes air pollution, which is not conducive to environmental protection. Secondly, if the polyurethane residue on the surface of the vessel is not thoroughly cleaned during the polyurethane processing, it will affect the quality of subsequent products and shorten the life of the vessel. Traditional cleaning methods rely on fixed parameters (such as time and temperature), which cannot adapt to differences in residual amount, resulting in incomplete cleaning or waste of resources. Existing image analysis technology is mostly based on two-dimensional plane, which makes it difficult to accurately calculate the residual volume; and it lacks a dynamic optimization mechanism for the cleaning process, which cannot adjust parameters in real time to improve efficiency. Therefore, there is an urgent need for a cleaning system that combines three-dimensional residual amount detection and intelligent parameter optimization.

[0005] To address the shortcomings of existing technologies, we propose a polyurethane polymer composite material cleaning device and an optimized cleaning method to improve cleaning efficiency. Summary of the Invention

[0006] The purpose of this invention is to provide a polyurethane processing vessel cleaning device that can effectively clean and remove the deposits of raw liquid on the surface of objects; it can clean every crevice without disassembling the objects; it not only saves time but also does not cause any damage. Furthermore, this invention provides a polyurethane processing vessel cleaning method and device based on multi-view image analysis and dynamic parameter optimization. By constructing a cleaning database, plotting cleaning curves, and optimizing control parameters, it achieves precise cleaning, improves efficiency, and reduces costs.

[0007] To achieve the above objectives, the present invention provides the following technical solution:

[0008] An optimized cleaning method for a polyurethane processing vessel cleaning device includes the following steps:

[0009] A database is constructed to store various data during the cleaning process, including images of the vessels to be cleaned, calculated residual amounts, intermediate and second images from each cleaning cycle, the difference in residual amount between adjacent cleaning cycles, cleaning duration, and control parameters of the cleaning device. The process of constructing the database is as follows:

[0010] S100: Acquire first images of the vessel to be cleaned from different shooting angles, process the first images to obtain the area where polyurethane exists, calculate the area of ​​the area, calculate the volume content of polyurethane on the vessel to be cleaned according to the gurukin, and calculate the mass of polyurethane according to the volume content.

[0011] S200: Then the vessel to be cleaned is placed in the cleaning device for cleaning, and the vessel is cleaned multiple times at a preset time. After each cleaning, an intermediate image and a second image of the cleaning completed are taken.

[0012] S300: Process the intermediate image and the second image in the same way as the first image, calculate the residual mass difference between adjacent cleaning cycles, arrange the residual mass difference according to the cleaning time, draw a cleaning curve, determine the optimal cleaning time according to the cleaning curve, and obtain the control parameters of the cleaning device during the optimal cleaning time. Use the control parameters to guide the cleaning device parameters in the subsequent cleaning process.

[0013] The invention further provides that the shooting angles include frontal view, rear view, left view, right view, top view, and bottom view of the vessel.

[0014] The present invention further includes image preprocessing of the first image, the intermediate image and the second image, including image filtering and image segmentation.

[0015] In a further embodiment of the present invention, when plotting the cleaning curve in step S300, the cleaning time is used as the horizontal axis and the difference in residual mass is used as the vertical axis.

[0016] The above solution features precise calculation of residual amounts: Multi-view image acquisition and advanced image processing technology, combined with Grukin's theorem, accurately calculate the residual amount of polyurethane, providing a precise basis for subsequent cleaning and avoiding errors associated with traditional methods. Determining optimal cleaning parameters: By plotting cleaning curves and analyzing the difference in residual mass between adjacent cleaning cycles, the optimal cleaning duration and corresponding control parameters are determined, achieving efficient and precise cleaning and avoiding incomplete or over-cleaning. Data-driven continuous optimization: A database is established to store various data from the cleaning process. Through analysis and learning from large amounts of data, the cleaning curves and parameters are continuously optimized, improving the intelligence level and efficiency of the cleaning device. Cost reduction: Over-cleaning avoids waste of water, energy, and cleaning agents, reducing production costs and extending the lifespan of the containers.

[0017] Another aspect of the present invention provides a polyurethane processing vessel cleaning device for implementing the aforementioned optimized cleaning method. The cleaning device includes a cleaning housing and a control housing. A cleaning chamber is formed within the cleaning housing, and a storage basket for placing objects to be cleaned is provided within the cleaning chamber. A heating chamber is provided between the control housing and the cleaning chamber, and a heating tube and an ultrasonic transducer are provided within the heating chamber. A control generator is provided within the control housing for controlling the temperature of the heating tube and the frequency of the ultrasonic transducer. A cleaning fluid is injected into the cleaning chamber, and the heating tube is used to heat the cleaning fluid.

[0018] The present invention further includes an insulation layer between the heating chamber and the control housing, a heating tube mounting hole on the insulation layer, ultrasonic transducers on both sides of the heating tube mounting hole, a push-button switch and a temperature controller on the outer surface of the control housing, and a temperature sensor inside the control housing for monitoring the temperature of the cleaning fluid.

[0019] The present invention further includes a drain port on the side of the cleaning housing, which communicates with the cleaning chamber to discharge the cleaning liquid after cleaning.

[0020] The present invention further includes an opening cover on the top of the cleaning housing.

[0021] The present invention further provides that the cleaning chamber is provided with side insulation layers on both sides, and the side insulation layers are connected to the insulation layer.

[0022] The present invention further includes a heating tube protection plate between the cleaning chamber and the heating tube, with both ends of the heating tube protection plate fixed to a support plate, and the support plate located on the side of the heating chamber.

[0023] This invention includes at least one of the following beneficial effects:

[0024] 1. High adaptability: The polyurethane processing vessel cleaning device of the present invention has a storage basket in the cleaning chamber that can hold items of different sizes to be cleaned as needed. Whether it is a small vessel or a large vessel, it can be cleaned effectively, thus expanding the application range of the cleaning device.

[0025] 2. Non-destructive cleaning: The cleaning device of the present invention uses an ultrasonic transducer and a heating tube. Through the dual action of ultrasonic vibration and heating, it can effectively remove dirt and contaminants from the surface of the object to be cleaned without causing any damage to the surface of the object, thus protecting the original structure and performance of the object.

[0026] 3. Easy to operate: The control housing of the cleaning device of the present invention is equipped with a control generator, which can accurately control the temperature of the heating tube and the frequency of the ultrasonic transducer, making operation simple and improving cleaning efficiency.

[0027] 4. Time Saving: Because the cleaning device of this invention uses a combination of ultrasonic waves and heating, the cleaning speed is fast and the efficiency is high, greatly saving cleaning time compared with existing cleaning devices. In summary, the polyurethane processing vessel cleaning device of this invention has significant advantages in terms of cleaning effect, adaptability, environmental friendliness, ease of operation, and time efficiency. Attached Figure Description

[0028] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings:

[0029] Figure 1 This is a cross-sectional view of Embodiment 1 of the present invention.

[0030] Figure 2 This is a schematic diagram of the structure of Embodiment 1 of the present invention.

[0031] Figure 3 This is a schematic diagram of the process of constructing a database according to Embodiment 2 of the present invention.

[0032] Figure label:

[0033] 1. Push-button switch; 2. Temperature controller; 3. Temperature sensor; 4. Temperature sensor mounting port; 5. Drain port; 6. Cleaning chamber; 7. Opening cover; 8. Storage basket; 9. Heating tube; 10. Ultrasonic transducer; 11. Heating tube protection plate; 12. Insulation layer; 13. Heating tube mounting hole; 14. Control generator; 15. Cleaning housing; 16. Control housing; 17. Heating chamber; 18. Side insulation layer; 23. Support plate; Detailed Implementation

[0034] The following will describe in detail the implementation of this application with reference to the accompanying drawings and embodiments, so that the implementation process of how this application uses technical means to solve technical problems and achieve technical effects can be fully understood and implemented accordingly.

[0035] Example 1

[0036] like Figures 1-2 As shown, the present invention is a polyurethane processing vessel cleaning device for cleaning containers containing polyurethane. The cleaning device includes a cleaning housing 15 and a control housing 16, and the top of the cleaning housing 15 is provided with an opening cover 7.

[0037] A cleaning chamber 6 is formed inside the cleaning housing 15. A storage basket 8 for placing items to be cleaned is provided inside the cleaning chamber 6. A heating chamber 17 is provided between the control housing 16 and the cleaning chamber 6. A heating tube 9 and an ultrasonic transducer 10 are provided inside the heating chamber 17. A control generator 14 is provided inside the control housing 16 to control the temperature of the heating tube 9 and the frequency of the ultrasonic transducer 10. Cleaning fluid is injected into the cleaning chamber 6, and the heating tube 9 is used to heat the cleaning fluid.

[0038] Heating element 9 is model YXQ-50, with a power of 5kW and a frequency of 20kHz. Control generator 14 is model TF-2000, with a maximum output power of 2000W and a frequency range of 10kHz-50kHz.

[0039] A heat insulation layer 12 is provided between the heating chamber 17 and the control housing 16, and side heat insulation layers 18 are provided on both sides of the cleaning chamber, with the side heat insulation layers 18 connected to the heat insulation layer 12.

[0040] The insulation layer 12 is provided with heating tube mounting holes 13, and ultrasonic transducers 10 are provided on both sides of the heating tube mounting holes 13. The insulation layer 12 and the side insulation layer 18 are used to maintain the temperature of the cleaning fluid during the cleaning process. In order to further ensure the temperature of the cleaning fluid, a push-button switch 1 and a temperature controller 2 are provided on the outer surface of the control housing 16. A temperature sensor 3 is provided inside the control housing 16 to monitor the temperature of the cleaning fluid, and the temperature controller 2 is used to control the temperature of the cleaning fluid so that the cleaning fluid is always kept at the optimal cleaning temperature, which needs to be maintained at 90-100℃. The temperature sensor 3 is set in the temperature sensor mounting port 4 formed inside the control housing 16.

[0041] The cleaning housing 15 has a drain port 5 on its side, which is connected to the cleaning chamber 6 to discharge the cleaning liquid after cleaning.

[0042] A heating tube protection plate 11 is provided between the cleaning chamber and the heating tube 9. The two ends of the heating tube protection plate 11 are fixed on the support plate 23. The support plate 23 is located on the side of the heating chamber 17. The heating tube 9 is protected by the heating tube protection plate 11.

[0043] The polyurethane processing utensil cleaning device of the present invention has a storage basket in its cleaning chamber that can hold items of different sizes to be cleaned as needed. Whether small or large, it can effectively clean these items, expanding the application range of the cleaning device. Non-destructive cleaning: The cleaning device of the present invention uses an ultrasonic transducer and a heating tube. Through the dual action of ultrasonic vibration and heating, it can effectively remove dirt and contaminants from the surface of the items to be cleaned without causing any damage to the surface, protecting the original structure and properties of the items. The control housing of the cleaning device of the present invention is equipped with a control generator, which can precisely control the temperature of the heating tube and the frequency of the ultrasonic transducer, making operation simple and improving cleaning efficiency. Because the cleaning device of the present invention uses a combination of ultrasonic waves and heating, the cleaning speed is fast and efficient, greatly saving cleaning time compared to existing cleaning devices. In summary, the polyurethane processing utensil cleaning device of the present invention has significant advantages in terms of cleaning effect, adaptability, environmental friendliness, ease of operation, and time efficiency.

[0044] Example 2

[0045] like Figure 3 As shown, this embodiment provides an optimized cleaning method for a polyurethane processing vessel cleaning device, including the following steps:

[0046] A database is constructed to store various data during the cleaning process, including images of the vessels to be cleaned, calculated residual amounts, intermediate and second images from each cleaning cycle, the difference in residual amount between adjacent cleaning cycles, cleaning duration, and control parameters of the cleaning device. The process of constructing the database is as follows:

[0047] S100: Acquire first images of the vessel to be cleaned from different shooting angles, process the first images to obtain the area where polyurethane exists, calculate the area of ​​the area, calculate the volume content of polyurethane on the vessel to be cleaned according to the gurukin, and calculate the mass of polyurethane according to the volume content.

[0048] S200: Then the vessel to be cleaned is placed in the cleaning device for cleaning, and the vessel is cleaned multiple times at a preset time. After each cleaning, an intermediate image and a second image of the cleaning completed are taken.

[0049] S300: The intermediate and second images are processed in the same way as the first image. The residual mass difference between adjacent cleaning cycles is calculated. The residual mass differences are arranged according to the cleaning time, and a cleaning curve is plotted. The optimal cleaning time is determined based on the cleaning curve, and the control parameters of the cleaning device during the optimal cleaning time are obtained. The control parameters guide the subsequent cleaning device parameters. In step S300, when plotting the cleaning curve, the cleaning time is used as the horizontal axis, and the residual mass difference is used as the vertical axis.

[0050] The shooting angles include frontal, rear, left, right, top, and bottom views of the vessel. Six images are taken from these six perspectives. The corresponding regions containing polyurethane are located in the six images, and the edge features of the regions are extracted to calculate the area. The volume is then calculated using the area combined with the Gurukin method. The mass is obtained by multiplying the density by the volume according to the formula. The masses of each region are added together to obtain the residual mass of polyurethane in the first, middle, and second images.

[0051] Image preprocessing is performed on the first image, the intermediate image, and the second image. Preprocessing includes image filtering and image segmentation. Image filtering and image segmentation can employ existing techniques; this embodiment uses the following scheme for the specific polyurethane region:

[0052] First, the image is filtered. The image here includes the first image, the intermediate image, and the second image. The following description will use the image representation method:

[0053] During filtering, an ideal low-pass filter technique is used to filter the image and remove noise. A circular region is defined centered at the image's frequency spectrum center. The radius of this circular region is r = (fc × image size) / (2 × fm), where fc is the cutoff frequency and fm is the maximum frequency. The original image passes through this circular region. During this passage, all frequencies within the circular region do not attenuate, while image frequencies outside the circular region are filtered out. The pass-through function is expressed by the formula: ;

[0054] Where H represents the pass function of the ideal low-pass filter, also known as the transfer function. The transfer result is either "1" or "0", where "1" indicates that the filter passes. S ( u, v ) represents the cutoff frequency of an ideal low-pass filter; W This represents the distance from the center point of the image spectrum to the center point of the image. If the cutoff frequency of the ideal low-pass filter is less than the distance from the center point of the image spectrum to the center point of the image, the image frequency is preserved; otherwise, it is blocked. Assuming that the energy of each point in the image is not lost during transmission, the total energy is: ;

[0055] Where F represents the total energy of all points in the image during the transmission process; f(x,y) represents the image pixel; x and y represent the horizontal and vertical coordinates of the image pixel in the pixel coordinate system, respectively. If a circular region with a center radius equal to the image frequency is used to cover the image, and a low-pass ideal filter is applied, the filtered image is: ;

[0056] Where B represents the industrial part image after low-pass ideal filtering. Considering the influence of ambient lighting variations during image acquisition, resulting in uneven brightness in the captured images, image enhancement processing is performed on top of the filtering. This time, the Gaussian scaling operator is used for image enhancement, expressed by the formula: ;

[0057] Where B*(x, y) represents the image pixels after enhancement; γ represents a parameter matrix; and c represents the Gaussian wrapping scale. The values ​​of γ and c are selected according to the specific situation.

[0058] After filtering and enhancing the image using the above method, the polyurethane region is extracted using image segmentation. The image segmentation method employed is threshold segmentation, as detailed below:

[0059] Since the image is a color image, it is converted to grayscale before segmentation, and a threshold is determined. The threshold is calculated based on the standard deviation and mean of the grayscale image pixels and their neighboring regions.

[0060] The calculation formula is as follows: ;

[0061] In the above formula, where, m It represents the standard deviation of the set of neighboring pixels of any pixel in a grayscale image; i This represents the number of pixels in the set of neighboring pixel intervals; e i Represents a discrete random variable in a grayscale image; k B*(x, y) The probability function representing the grayscale distribution of a grayscale image; h Let $\frac{ ... ;in, Represents the adaptive threshold for image segmentation; a , b These represent two threshold parameters. The grayscale values ​​of pixels in the grayscale image are compared with the thresholds to obtain the segmented image: ;

[0062] in, g ( x, y The image represents the segmented foreground image, i.e., the image with the polyurethane region.

[0063] This embodiment enables precise calculation of residual amounts: Through multi-view image acquisition and advanced image processing technology, combined with Grukin's theorem, the residual amount of polyurethane is accurately calculated, providing a precise basis for subsequent cleaning and avoiding errors associated with traditional methods. Optimal cleaning parameters are determined: By plotting cleaning curves and analyzing the residual mass difference between adjacent cleaning cycles, the optimal cleaning duration and corresponding control parameters are determined, achieving efficient and precise cleaning and avoiding incomplete or over-cleaning. Data-driven continuous optimization: A database is established to store various data from the cleaning process. Through analysis and learning from large amounts of data, the cleaning curves and parameters are continuously optimized, improving the intelligence level and efficiency of the cleaning device. Cost reduction: Over-cleaning avoids waste of water, energy, and cleaning agents, reducing production costs and extending the lifespan of the containers.

[0064] As used in the specification and claims, certain terms refer to specific components. Those skilled in the art will understand that hardware manufacturers may use different names to refer to the same component. This specification and claims do not distinguish components based on differences in name, but rather on differences in function. The term "comprising" throughout the specification and claims is an open-ended term and should be interpreted as "comprising but not limited to." "Approximately" means that within an acceptable margin of error, those skilled in the art can solve the technical problem and substantially achieve the technical effect within a certain margin of error.

[0065] The foregoing description illustrates and describes several preferred embodiments of the present invention. However, as previously stated, it should be understood that the present invention is not limited to the forms disclosed herein and should not be construed as excluding other embodiments. It can be used in various other combinations, modifications, and environments, and can be altered within the scope of the inventive concept described herein through the foregoing teachings or techniques or knowledge in related fields. Any modifications and variations made by those skilled in the art that do not depart from the spirit and scope of the present invention should be within the protection scope of the appended claims.

Claims

1. An optimized cleaning method for a polyurethane processing vessel cleaning device, characterized in that, Includes the following steps: A database is constructed to store various data during the cleaning process, including images of the vessels to be cleaned, calculated residual amounts, intermediate and second images from each cleaning cycle, the difference in residual amount between adjacent cleaning cycles, cleaning duration, and control parameters of the cleaning device. The process of constructing the database is as follows: S100: Acquire first images of the vessel to be cleaned from different shooting angles, process the first images to obtain the area where polyurethane exists, calculate the area of ​​the area, calculate the volume content of polyurethane on the vessel to be cleaned according to the Gurukin theorem, and calculate the mass of polyurethane based on the volume content. S200: Then the vessel to be cleaned is placed in the cleaning device for cleaning, and the vessel is cleaned multiple times for a preset time. After each cleaning, an intermediate image and a second image after cleaning are taken. S300: Process the intermediate image and the second image in the same way as the first image, calculate the residual mass difference between adjacent cleaning cycles, arrange the residual mass difference according to the cleaning time, draw a cleaning curve, determine the optimal cleaning time according to the cleaning curve, and obtain the control parameters of the cleaning device during the optimal cleaning time. Use the control parameters to guide the cleaning device parameters in the subsequent cleaning process.

2. The optimized cleaning method of the polyurethane processing vessel cleaning device according to claim 1, characterized in that, Shooting angles include frontal view, rear view, left view, right view, top view, and bottom view of the vessel.

3. The optimized cleaning method of the polyurethane processing vessel cleaning device according to claim 1, characterized in that, Image preprocessing is performed on the first image, the intermediate image, and the second image. The preprocessing includes image filtering and image segmentation.

4. An optimized cleaning method for a polyurethane processing vessel cleaning device according to claim 1, characterized in that, In step S300, when plotting the cleaning curve, the cleaning time is used as the horizontal axis and the difference in residual mass is used as the vertical axis.

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